qzinb: The Zero-Inflated Negative Binomial Distribution

In SeqNet: Generate RNA-Seq Data from Gene-Gene Association Networks

Description

The Zero-Inflated Negative Binomial Distribution

Usage

qzinb(p, size, mu, rho, lower.tail = TRUE, log.p = FALSE)

Arguments

p	A vector of probabilities
size	The dispersion paramater used in dnbinom
mu	The mean parameter used in dnbinom.
rho	The zero-inflation parameter.
lower.tail	Logical; if TRUE, then probabilities are P(X <= x). Otherwise, P(X > x).
log.p	Logical; if TRUE, then exp(p) is used.

Value

The quantiles for the given probabilities.

Examples

x <- rzinb(10, 1, 10, 0.1)
p <- pzinb(x, 1, 10, 0.1)
y <- qzinb(p, 1, 10, 0.1)
all(x == y)
# Compute P(0 < X < 5) for X ~ ZINB(1, 10, 0.1)
sum(dzinb(0:5, 1, 10, 0.1))

SeqNet documentation built on July 9, 2021, 9:08 a.m.